Image Processing, Computer Vision, and Deep Learning: new approaches to the analysis and physics interpretation of LHC events

This review introduces recent developments in the application of image processing, computer vision, and deep neural networks to the analysis and interpretation of particle collision events at the Large Hadron Collider (LHC). The link between LHC data analysis and computer vision techniques relies on...

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Bibliographic Details

Published in:	Journal of physics. Conference series Vol. 762; no. 1; pp. 12035 - 12044
Main Authors:	Schwartzman, A., Kagan, M., Mackey, L, Nachman, B., De Oliveira, L.
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.10.2016
Subjects:	Artificial neural networks Computer architecture Computer vision Data analysis Deep learning Digital cameras Digital imaging Image classification Image processing Large Hadron Collider Machine learning Neural networks Particle collisions Particle physics Physics
ISSN:	1742-6588, 1742-6596
Online Access:	Get full text
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